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Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs

Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan Swaminathan

2025-05-02

Skill Discovery for Software Scripting Automation via Offline
  Simulations with LLMs

Summary

This paper talks about a new way to teach AI to write scripts that automate tasks in different software programs, making the process more reliable and efficient.

What's the problem?

Automating tasks in software can be tricky because it's hard to create scripts that work perfectly with all the different commands and features, and mistakes can waste time or cause errors.

What's the solution?

The researchers built a system that uses large language models and graph neural networks to practice and verify scripts in a simulated environment before actually running them, so only the best and most reliable scripts are used.

Why it matters?

This matters because it helps people and businesses save time and avoid mistakes when automating software tasks, making technology easier and more effective for everyone.

Abstract

An offline framework using LLMs and GNNs curates verified scripts for specific software APIs, improving automation success rates and reducing runtime costs.